OBJECTIVE Infants of diabetic mothers (IDM) are considered as a risk group for atherosclerosis. Increased aortic intima-media thickness has been reported in IDM. The purpose of this study was to assess carotid artery intima-media thickness (CA-IMT), left ventricular mass index (LVMI) and atherosclerotic risk factors in IDM. METHODS Thirty IDM and 25 healthy controls were included in the study...

This paper presents an integrated human driver model for a closed-loop simulation of the intelligent safety system. A lateral human driver model was developed to represent the steering behavior of a human driver using the finite preview optimal control method. A longitudinal human driver model represents a human driver’s throttle and brake control behavior relative to the preceding vehicle moti...

Over the years, formal methods have been developed for the analysis of security and privacy aspects of communication in IT systems. However, existing methods are insufficient to deal with privacy, especially in identity management (IdM), as they fail to take into account whether personal information can be linked to its data subject. In this paper, we propose a general formal method to analyze ...

The advance of computing technology has provided the means for building intelligent vehicle systems. Drowsy driver detection system is one of the potential applications of intelligent vehicle systems. Here we employ machine learning techniques to detect driver drowsiness. The system obtained 98% performance in predicting driver drowsiness. This is the highest prediction rate reported to date fo...

Walley’s Imprecise Dirichlet Model (IDM) for categorical i.i.d. data extends the classical Dirichlet model to a set of priors. It overcomes several fundamental problems which other approaches to uncertainty suffer from. Yet, to be useful in practice, one needs efficient ways for computing the imprecise=robust sets or intervals. The main objective of this work is to derive exact, conservative, a...

The Image Distortion Model (IDM) has previously shown good retrieval quality. However, one of the limitations that may limit its use in a wider range of applications is computational complexity. In this paper, we present an approach that applies several optimizations to decrease the retrieval time of IDM without degrading the quality of query results. We were able to perform the IDM in less tha...

Smart wheelchairs that can detect and avoid obstacles have been developed with the goal of serving as mobility aids for persons with disabilities who find standard power wheelchairs difficult or impossible to use [58]. By improving mobility and autonomy, they have the potential to improve the health of populations ranging from the severely disabled to the growing numbers of aging people [13]. W...

This article applies the interpoint-distance model (IDM) to explain composite color categories that continue to challenge existing models in the literature. Using universal cognitive principles and heuristics suggested in the IDM, analyses demonstrate that the composite category blue-green (or GRUE) seen in many languages is one of several natural coding configurations expected in the developme...

Web service-oriented architecture (WSOA) is a promising paradigm for future software development. Necessary identity management (IdM) architectures for WSOA are just being prepared to enable fine-grained access control. With the loose coupling of Web services with crosscutting identity services the question arises how to develop access control policies for Web services. In this paper we present...

The Ising Decision Maker (IDM) is a new formal model for speeded two-choice decision making derived from the stochastic Hopfield network or dynamic Ising model. On a microscopic level, it consists of 2 pools of binary stochastic neurons with pairwise interactions. Inside each pool, neurons excite each other, whereas between pools, neurons inhibit each other. The perceptual input is represented ...